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"I thought it might be nice to go round the room and say a bit about ourselves" You thought wrong.

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Ever wanted to view protein structures directly in #VSCode? I put together an extension for exactly that! marketplace.visualstudio.com/items?itemName…

We are happy that our work "COVID-19 pandemic changes the food consumption patterns" has been selected as the best interdisciplinary published article (AI and Public Health) for 2021 in Slovenia. @Petkomat Barbara Seljak Dragi Kocev ComputerSystems@JSI IJS - Knowledge Technologies

"We have incorporated all the reviewers' comments, which we believe has substantially improved our work"

ArXiv arxiv.org/abs/2112.09788: Denoising score matching / Langevin dynamics with generalized normal distribution (eg Laplacian, heavy-tailed) for noising and denoising. Iterative noise scaling algorithm to handle multiple levels of noise in annealed Langevin dynamics.

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New discovery: AiTLAS: Artificial Intelligence Toolbox for Earth Observation Code: github.com/biasvariancela… Paper: arxiv.org/abs/2201.08789

The dawn of a new era in astronomy has begun as the world gets its first look at the full capabilities of the NASA/ESA/CSA James Webb Space Telescope. The telescope’s first full-colour images & spectroscopic data were released today. Read more here esawebb.org/news/weic2210/ or👇

Check out the recent work "Current trends in deep learning for Earth Observation: An open-source benchmark arena for image classification" #AI4EO #DeepLearning #EarthObservation #LandUse paper: lnkd.in/eRfByt83 code: lnkd.in/e4aRu7Q6 Dragi Kocev Nikola Simidjievski

We propose a novel neural network-based method for inference on small-size and high-dimensional tabular datasets. It reduces overfitting, performs feature selection and provides great predictive accuracy. Work done together with Nikola Simidjievski, Mateja Jamnik, Pietro Lio'

I'm excited to share our #AAAI paper 🎉, which proposes WPFS: a neural architecture specialised for small-sample size, high-dimensional tabular datasets (D>>N). Work done together with Nikola Simidjievski, Mateja Jamnik, Pietro Lio' arxiv.org/abs/2211.15616 Thread below👇

📣 Excited to announce the Workshop on "Neuro-Explicit AI and Expert-informed Machine Learning for Engineering and Physical Sciences", co-located with ECML PKDD 2023 in Turin, Italy. #ml4eng #GP #BayesOpt 🗓️ Submit your paper until June 12. ℹ️ sites.google.com/view/exml23

Artificial Intelligence (AI) and Machine Learning are being increasingly used in research and clinical practice. Nikola Simidjievski, Senior Research Associate at the PBCI in Cambridge, explains how AI is being used in CRUK Cambridge Centre: Breast Cancer. #PBCI_BreastCancerAwareness CRUK Cambridge Centre